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Core Transformations and Future Prospects of Individual Learning and Development in the AIGC Era

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  • Li Sun

    (Software School, Harbin Information Engineering Institute)

  • Lu Gao*

    (Software School, Harbin Information Engineering Institute)

Abstract

Artificial Intelligence Generated Content (AIGC) is transforming the way individuals learn, with significant implications for future skill demands and personal development. Drawing on recent academic literature, authoritative reports, and practical cases from 2023 to 2024, this paper proposes a new framework for personal learning and growth in the AIGC era. AIGC enables collaborative learning between humans and AI, supports the intelligent generation of learning content, and allows learning to occur anytime and anywhere, thereby reshaping learning interactions, content formats, and the boundaries of educational access. Alongside these opportunities, new trends are emerging, such as the rise of augmented individuals, people whose capabilities are substantially enhanced through strategic AI use highlighting the need for continuous skill renewal and adaptation to AI-driven lifelong learning environments. However, these advancements also raise concerns regarding critical thinking, ethics, and fairness. Addressing such challenges requires coordinated efforts from individuals, educational institutions, and society to cultivate AI collaboration skills, promote critical and responsible AI use, and ensure that technological progress supports human-centered development. This paper offers both theoretical and practical insights into the evolving landscape of personal learning in the AIGC era, emphasizing the central role of human agency and values in shaping future educational and developmental pathways.

Suggested Citation

  • Li Sun & Lu Gao*, 2025. "Core Transformations and Future Prospects of Individual Learning and Development in the AIGC Era," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 6311-6319, August.
  • Handle: RePEc:bcp:journl:v:9:y:2025:i:3s:p:6311-6319
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